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BBC Dialogger

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Links:

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Notes:

  • 9 stations, 34 million listeners -- BBC is pretty big

  • Transcription is rough and manual process (enough for them to understand whats going on -- slow and "waste of their time")

  • Producers will pay other people to do it, in Australia which is overnight because of how time zones work, but only if they have the money

  • Timed transcripts in 2002, SCANMail, meant for navigating voicemail using text

  • Also this program called SILVER

  • 2004, SCANMail could edit text

  • Then a video editor can do transcripts with different camera angles and it auto edits the video so there are no awkward jump cuts

  • (Association of Computing Machinery) ACM is the journal where all these examples are coming from: https://www.acm.org/publications/journalsarrow-up-right

  • Removing "ums" and other sounds

  • 2016: prototype to quickly revise spoken comments

  • Chris is now demo'ing some prototypes out of BBC R&D

  • HTML5Compositor

  • Demonstrates the Magic Pen tool where transcripts can be printed, written on with a specific pen with a camera, and having those edits uploaded back to the document so producers can work at their leisure / on the go / not in the office

  • "Speech to text is a lossy process"

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Academic references:

  • Whittaker, Steve, et al. "SCANMail: a voicemail interface that makes speech browsable, readable and searchable." Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2002. DOIarrow-up-right

  • Casares, Juan, et al. "Simplifying video editing with SILVER." CHI'02 Extended Abstracts on Human Factors in Computing Systems. ACM, 2002. DOIarrow-up-right

  • Whittaker, Steve, and Brian Amento. "Semantic speech editing." Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2004. DOIarrow-up-right

  • Berthouzoz, Floraine, Wilmot Li, and Maneesh Agrawala. "Tools for placing cuts and transitions in interview video." ACM Trans. Graph. 31.4 (2012): 67-1. DOIarrow-up-right

  • Rubin, Steve, et al. "Content-based tools for editing audio stories." Proceedings of the 26th annual ACM symposium on User interface software and technology. ACM, 2013. DOIarrow-up-right

  • Sivaraman, Venkatesh, Dongwook Yoon, and Piotr Mitros. "Simplified Audio Production in Asynchronous Voice-Based Discussions." Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016. DOIarrow-up-right

  • Shin, Hijung Valentina, Wilmot Li, and Frédo Durand. "Dynamic Authoring of Audio with Linked Scripts." Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, 2016. DOIarrow-up-right

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Ideas for next steps

  • Common base UI element for timed transcript editing

  • Google Docs style collaborative time transcript editor/player

  • Better, meaningful annotations (e.g. rate segments, export >4*)

  • Template for EDL file generation

  • Embed transcript and annotations in audio file

  • Umm detection/removal (STT with umms?)

  • Automatic segmentation with tagging and summaries

  • Better time compression

  • Tools for recording multiple versions of a script

  • Digital pen with audio playback, natural annotation and live bidirectional sync

  • Smart correction by exposing STT graphs

  • Fast clipping of a live audio stream using transcripts

  • Bidirectional integration with a proper audio editing system

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